
In exploring causal relationships, the study delves into testing aspects of causal discovery by determining if a hidden causal graph belongs to a specified Markov equivalence class. The approach involves establishing lower and upper bounds on the required number of conditional independence tests.


coremsg

testing-causal-relationships-in-markov-equivalence-classes-via-independence-query-oracles


Testing Causal Relationships in Markov Equivalence Classes via Independence Query Oracles


title_rewrite


Testing the causal relationships within Markov equivalence classes is a manageable task requiring fewer independence tests compared to learning.


testing-causal-relationships-in-markov-equivalence-classes-via-conditional-independence-queries


Testing Causal Relationships in Markov Equivalence Classes via Conditional Independence Queries
